92 citations · 260 across the 17 of their papers we have counts for
4 papers · 1 filter
Are pre-trained CNNs good feature extractors for anomaly detection in surveillance videos?
Tiago S. Nazare, Rodrigo F. de Mello, Moacir A. Ponti
Recently, several techniques have been explored to detect unusual behaviour in surveillance videos. Nevertheless, few studies leverage features from pre-trained CNNs and none of th…
Unsupervised representation learning using convolutional and stacked auto-encoders: a domain and cross-domain feature space analysis
Gabriel B. Cavallari, Leonardo Sampaio Ferraz Ribeiro, Moacir Antonelli Ponti
A feature learning task involves training models that are capable of inferring good representations (transformations of the original space) from input data alone. When working with…
Como funciona o Deep Learning
Moacir Antonelli Ponti, Gabriel B. Paranhos da Costa
Deep Learning methods are currently the state-of-the-art in many problems which can be tackled via machine learning, in particular classification problems. However there is still l…
Computing the Shattering Coefficient of Supervised Learning Algorithms
Rodrigo Fernandes de Mello, Moacir Antonelli Ponti, Carlos Henrique Grossi Ferreira
The Statistical Learning Theory (SLT) provides the theoretical guarantees for supervised machine learning based on the Empirical Risk Minimization Principle (ERMP). Such principle…